showed a trendp < 0.2
Starting with all variables that showed a trend towards an association ( p < 0.2), a best subset regression procedure was used to identify the most suitable and parsimonious multivariate model, defined as the one with the lowest Akaike Information Criterion (AIC), a widely recognized measure of model fit [ 43 ].